Erqun Dong — accepted AI-conference papers

2024

ViVid-1-to-3: Novel View Synthesis with Video Diffusion Models

Jeong-gi Kwak, Erqun Dong, Yuhe Jin, Hanseok Ko, Shweta Mahajan, Kwang Moo Yi

CVPR 2024highlight

Generating novel views of an object from a single image is a challenging task. It requires an understanding of the underlying 3D structure of the object from an image and rendering high-quality spatially consistent new views. While recent methods for view synthesis based on diffusion have shown grea…

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2021

Generalized DataWeighting via Class-Level Gradient Manipulation

Can Chen, Shuhao Zheng, Xi Chen, Erqun Dong, Xue Liu, Hao Liu +1

NeurIPS 2021poster

Label noise and class imbalance are two major issues coexisting in real-world datasets. To alleviate the two issues, state-of-the-art methods reweight each instance by leveraging a small amount of clean and unbiased data. Yet, these methods overlook class-level information within each instance, whic…

Cited by 27 Source ↗PDF ↗code ↗Scholar ↗